Triple

T4707942
Position Surface form Disambiguated ID Type / Status
Subject Bernard A. Mitchell Hospital E104436 entity
Predicate clinicalFocus P53888 FINISHED
Object adult inpatient services LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: adult inpatient services | Statement: [Bernard A. Mitchell Hospital, clinicalFocus, adult inpatient services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clinicalFocus
Context triple: [Bernard A. Mitchell Hospital, clinicalFocus, adult inpatient services]
  • A. clinicalRole
    Indicates the specific function, responsibility, or position an entity holds within a clinical or healthcare context.
  • B. focusesOnMedicalCare
    Indicates that one entity directs attention, resources, or activity specifically toward providing or improving medical care for another entity.
  • C. clinicalSignOf
    Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
  • D. primaryDisease
    Indicates that a disease is the main or principal medical condition affecting an entity, as opposed to secondary or comorbid conditions.
  • E. categoryFocus chosen
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd680beb508190b3d74e20e1c64405 completed March 20, 2026, 3:30 p.m.
PD Predicate disambiguation batch_69bd621ddcd88190903288566f5e5dab completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:17 p.m.